Journal ArticleDOI
Binary Opinion Dynamics with Stubborn Agents
Ercan Yildiz,Asuman Ozdaglar,Daron Acemoglu,Amin Saberi,Anna Scaglione +4 more
- Vol. 1, Iss: 4, pp 19
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TLDR
It is shown that the presence of stubborn agents with opposing opinions precludes convergence to consensus; instead, opinions converge in distribution with disagreement and fluctuations.Abstract:
We study binary opinion dynamics in a social network with stubborn agents who influence others but do not change their opinions. We focus on a generalization of the classical voter model by introducing nodes (stubborn agents) that have a fixed state. We show that the presence of stubborn agents with opposing opinions precludes convergence to consensus; instead, opinions converge in distribution with disagreement and fluctuations. In addition to the first moment of this distribution typically studied in the literature, we study the behavior of the second moment in terms of network properties and the opinions and locations of stubborn agents. We also study the problem of optimal placement of stubborn agents where the location of a fixed number of stubborn agents is chosen to have the maximum impact on the long-run expected opinions of agents.read more
Citations
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Journal ArticleDOI
Opinion Dynamics on Networks under Correlated Disordered External Perturbations.
TL;DR: In this article, the authors study an influence network of voters subjected to correlated disordered external perturbations, and solve the dynamical equations exactly for fully connected networks, and show analytically that the vote-share variability is directly related to the external influence fluctuations.
Posted Content
Blind Community Detection from Low-rank Excitations of a Graph Filter
TL;DR: In this paper, the authors proposed a spectral method to detect communities in a graph from the observation of signals at its nodes, where the observed signals are noisy outputs of an unknown network process, represented as a graph filter that is excited by a set of unknown low-rank inputs/excitations.
Proceedings ArticleDOI
A novel homogenous protocol for multi-agent clustering over directed graphs
Anton V. Proskurnikov,Ming Cao +1 more
TL;DR: A novel homogenous distributed protocol that can provide both consensus and clustering of identical agents, interacting over general directed graph, and establish criteria for their convergence is offered.
Journal ArticleDOI
Bots influence opinion dynamics without direct human-bot interaction: the mediating role of recommender systems
TL;DR: In this article , a simple recommendation system mediates the agents' content consumption, thus influencing opinions without direct human-bot interaction, and the authors show that even with limited direct interactions, the mere presence of the bot is sufficient to shift the average population's opinion.
Journal ArticleDOI
Clustering and stubbornness regulate the formation of echo chambers in personalised opinion dynamics
TL;DR: In this article , a mechanistic model of opinions on clustered dynamic social networks with sorting algorithms was studied and it was shown that local social clustering is a key structure to form echo chambers and in combination with community structure can further increase polarisation, particularly with reinforcing algorithms.
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